个结果，搜索词为 "machine learning foundations"
状态：新状态：免费试用您将获得的技能: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
状态：免费试用多位教师
您将获得的技能: 深度学习, 模型评估, 功能工程, NumPy, 强化学习, 分类算法, 人工智能, Scikit Learn（机器学习库）, 机器学习, Transfer Learning, 随机森林算法, 无监督学习, 监督学习, 张力流, Model Evaluation, 应用机器学习, Jupyter, 决策树学习, 迁移学习, 预测建模, 数据伦理, 数据预处理
状态：免费试用Coursera
您将获得的技能: 模型评估, 功能工程, 分类算法, 异常检测, 机器学习算法, 预测, 机器学习, Scikit Learn（机器学习库）, 统计建模, 回归分析, 无监督学习, 数据操作, 监督学习, 应用机器学习, 时间序列分析和预测, Model Evaluation, 预测分析, 决策树学习, 降维, 预测建模, 数据预处理
状态：免费试用University of Washington
您将获得的技能: 深度学习, 应用程序开发, 功能工程, 模型评估, 文本挖掘, 自然语言处理, 分类算法, 图像分析, 人工智能, 机器学习, 回归分析, 无监督学习, Python 编程, 监督学习, 计算机视觉, 应用机器学习, Model Evaluation, 预测建模, 数据预处理
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
状态：预览National Taiwan University
您将获得的技能: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms
是什么让您今天来到 Coursera？
状态：免费试用Fractal Analytics
您将获得的技能: 模型评估, 逻辑回归, 异常检测, 功能工程, 分类算法, 机器学习, 回归分析, 无监督学习, 模型部署, 监督学习, Model Evaluation, 决策树学习, 预测建模, 数据预处理
状态：预览IBM
您将获得的技能: 深度学习, 模型评估, 强化学习, 分类算法, 人工智能, 机器学习, 无监督学习, 回归分析, 应用机器学习, Model Evaluation, 监督学习, 数据科学, 预测建模
状态：新状态：免费试用您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
状态：新您将获得的技能: Probability & Statistics, Data Ethics, Pandas (Python Package), Data Literacy, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Mathematical Theory & Analysis, Data Processing, Data Analysis, Data Preprocessing, Data-Driven Decision-Making, Data Architecture, Python Programming, Data Mapping, Data Integrity
状态：新状态：免费试用您将获得的技能: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction
状态：免费试用DeepLearning.AI
您将获得的技能: 数学建模, 统计分析, NumPy, 数值分析, 描述性统计, 线性代数, 统计推理, 统计假设检验, 概率与统计, 机器学习, 概率分布, 应用数学, 微积分, 机器学习方法, 抽样（统计）, 贝叶斯统计, A/B 测试, 降维, 数据预处理, 概率
总之，以下是 10 最受欢迎的 machine learning foundations 课程
- Machine Learning Foundations: Packt
- 机器学习: DeepLearning.AI
- 机器学习基础: Coursera
- 机器学习基础：案例研究法: University of Washington
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- 机器学习基础: Fractal Analytics
- 机器学习入门: IBM
- Applied Machine Learning and Model Optimization: Packt
- Principles of Data Science: Packt
